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#!/usr/bin/env python
from __future__ import annotations
import gradio as gr
from model import AppModel
DESCRIPTION = '''# <a href="https://github.com/THUDM/CogView2">CogView2</a> (text2image)
The model accepts English or Chinese as input.
In general, Chinese input produces better results than English input.
By checking the "Translate to Chinese" checkbox, the results of English to Chinese translation with [this Space](https://huggingface.co/spaces/chinhon/translation_eng2ch) will be used as input. Since the translation model may mistranslate, you may want to use the translation results from other translation services.
'''
NOTES = '''
- This app is adapted from <a href="https://github.com/hysts/CogView2_demo">https://github.com/hysts/CogView2_demo</a>. It would be recommended to use the repo if you want to run the app yourself.
'''
FOOTER = '<img id="visitor-badge" alt="visitor badge" src="https://visitor-badge.glitch.me/badge?page_id=THUDM.CogView2" />'
def set_example_text(example: list) -> list[dict]:
return [
gr.Textbox.update(value=example[0]),
gr.Dropdown.update(value=example[1]),
]
def main():
only_first_stage = False
max_inference_batch_size = 8
model = AppModel(max_inference_batch_size, only_first_stage)
with gr.Blocks(css='style.css') as demo:
gr.Markdown(DESCRIPTION)
with gr.Row():
with gr.Column():
with gr.Group():
text = gr.Textbox(label='Input Text')
translate = gr.Checkbox(label='Translate to Chinese',
value=False)
style = gr.Dropdown(choices=[
'none',
'mainbody',
'photo',
'flat',
'comics',
'oil',
'sketch',
'isometric',
'chinese',
'watercolor',
],
value='mainbody',
label='Style')
seed = gr.Slider(0,
100000,
step=1,
value=1234,
label='Seed')
only_first_stage = gr.Checkbox(
label='Only First Stage',
value=only_first_stage,
visible=not only_first_stage)
num_images = gr.Slider(1,
16,
step=1,
value=4,
label='Number of Images')
run_button = gr.Button('Run')
with open('samples.txt') as f:
samples = [
line.strip().split('\t') for line in f.readlines()
]
examples = gr.Dataset(components=[text, style],
samples=samples)
with gr.Column():
with gr.Group():
translated_text = gr.Textbox(label='Translated Text')
with gr.Tabs():
with gr.TabItem('Output (Grid View)'):
result_grid = gr.Image(show_label=False)
with gr.TabItem('Output (Gallery)'):
result_gallery = gr.Gallery(show_label=False)
gr.Markdown(NOTES)
gr.Markdown(FOOTER)
run_button.click(fn=model.run_with_translation,
inputs=[
text,
translate,
style,
seed,
only_first_stage,
num_images,
],
outputs=[
translated_text,
result_grid,
result_gallery,
])
examples.click(fn=set_example_text,
inputs=examples,
outputs=examples.components)
demo.launch(enable_queue=True)
if __name__ == '__main__':
main()
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